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Remote Modeling Simulation Engineer Jobs in Frederick, MD

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Varsity Tutors

Biomedical Engineering Tutor

Rockville, MD · Remote

$18 - $40/hr

Skilled at breaking down physiological system modeling, biomechanical analysis, and medical device ... Adapts instruction using case studies of medical devices, MATLAB simulation exercises, and design ...

Varsity Tutors

Biomedical Engineering Tutor

Leesburg, VA · Remote

$18 - $40/hr

Skilled at breaking down physiological system modeling, biomechanical analysis, and medical device ... Adapts instruction using case studies of medical devices, MATLAB simulation exercises, and design ...

Varsity Tutors

Autodesk Fusion 360 Tutor

Rockville, MD · Remote

$18 - $40/hr

... direct modeling, sculpting, sheet metal design, assemblies, rendering, simulation, CAM toolpath ... engineering, and digital fabrication careers. * Conceptual Teaching & Problem-Solving: Skilled at ...

Varsity Tutors

Autodesk Fusion 360 Tutor

Leesburg, VA · Remote

$18 - $40/hr

... direct modeling, sculpting, sheet metal design, assemblies, rendering, simulation, CAM toolpath ... engineering, and digital fabrication careers. * Conceptual Teaching & Problem-Solving: Skilled at ...

System One

HVAC System Engineer

Westminster, MD · Remote

$75K - $113K/yr

Direct Hire Compensation: $75,000 - 113,000 Annually Contractor Work Model: Remote Potential Overview The Systems Engineer is responsible for the execution of the design and development of HVAC ...

System One

HVAC System Engineer

Westminster, MD · Remote

$75K - $113K/yr

Direct Hire Compensation: $75,000 - 113,000 Annually Contractor Work Model: Remote Potential Overview The Systems Engineer is responsible for the execution of the design and development of HVAC ...

System One

HVAC System Engineer

Westminster, MD · Remote

$75K - $113K/yr

Direct Hire Compensation: $75,000 - 113,000 Annually Contractor Work Model: Remote Potential Overview The Systems Engineer is responsible for the execution of the design and development of HVAC ...

System One

HVAC System Engineer

Westminster, MD · Remote

$75K - $113K/yr

Direct Hire Compensation: $75,000 - 113,000 Annually Contractor Work Model: Remote Potential Overview The Systems Engineer is responsible for the execution of the design and development of HVAC ...

Huntington

Sr. Innovation Software Engineer

Hagerstown, MD · On-site +1

$121K - $160K/yr

Strong experience building AI-enabled solutions and integrating models/services into applications ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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All JobsModeling Simulation Engineer JobsRemote Modeling Simulation Engineer JobsRemote Modeling Simulation Engineer Jobs in Frederick, MD

Remote Modeling Simulation Engineer information

See Frederick, MD salary details

$38.8K

$122.7K

$189.4K

How much do remote modeling simulation engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote modeling simulation engineer in Frederick, MD is $122,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $145,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

How does a Remote Modeling Simulation Engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are Remote Modeling Simulation Engineers?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What are the key skills and qualifications needed to thrive as a Remote Modeling Simulation Engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.
What are popular job titles related to Remote Modeling Simulation Engineer jobs in Frederick, MD? For Remote Modeling Simulation Engineer jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Remote Modeling Simulation Engineer jobs in Frederick, MD look for? The top searched job categories for Remote Modeling Simulation Engineer jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Remote Modeling Simulation Engineer jobs? Cities near Frederick, MD with the most Remote Modeling Simulation Engineer job openings:
Remote Modeling Simulation Engineer jobs near you
Infographic showing various Remote Modeling Simulation Engineer job openings in Frederick, MD as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,692 per year, or $59 per hour.
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • On-site, Remote

$115K - $139K/yr

Full-time

Re-posted 17 days ago

Job description

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.
This opportunity is 100% remote.
The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms.
Key Responsibilities
Data Pipeline Development & ETL/ELT
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms.
  • Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets.
  • Implement data transformation logic to support analytics, reporting, and regulatory use cases.
  • Ensure data pipelines are reliable, performant, and scalable in cloud environments.
  • Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization.
Cloud Data Platforms & Iceberg Architecture
  • Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift).
  • Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes.
  • Support lakehouse architectures that unify data lakes and data warehouses.
  • Optimize data storage and retrieval strategies for performance and cost efficiency.
  • Enable data platforms that support AI/ML workloads and downstream generative AI use cases.
CI/CD & DataOps Engineering
  • Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services.
  • Automate build, test, and deployment processes for ETL pipelines and data platform components.
  • Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies.
  • Ensure reproducibility, reliability, and governance of data pipeline deployments across environments.
  • Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk.
Data Optimization & Performance Engineering
  • Design and implement materialized views and other performance optimization techniques to improve query efficiency.
  • Tune data pipelines and queries for performance, scalability, and cost.
  • Implement partitioning, indexing, and caching strategies aligned to workload patterns.
XBRL & Financial Data Processing
  • Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data.
  • Support regulatory and financial data use cases requiring high accuracy and traceability.
  • Ensure alignment with data standards and validation rules for financial reporting datasets.
Context Engineering & Data Modeling Support
  • Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context.
  • Collaborate with Data Architects to support data modeling, schema design, and entity relationships.
  • Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance.
Metadata, Data Catalog, and Governance Integration
  • Integrate pipelines with enterprise data catalogs and metadata management systems.
  • Support automated metadata capture, lineage tracking, and data quality monitoring.
  • Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability.
Stakeholder Collaboration & Agile Delivery
  • Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Participate in stakeholder listening campaigns, workshops, and data discovery efforts.
  • Work in Agile teams to iteratively deliver data capabilities and enhancements.
  • Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years of experience in data engineering, ETL development, or data platform engineering.
  • Strong hands-on experience with:
    • ETL/ELT tools and frameworks
    • AWS data services (S3, Glue, Lambda, Redshift, etc.)
    • Apache Iceberg and modern data lake architectures
  • Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows.
  • Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools).
  • Experience processing XBRL or complex financial/regulatory datasets.
  • Proficiency in SQL and Python.
  • Experience implementing materialized views and query optimization techniques.
  • Understanding of data modeling concepts and metadata management.
  • Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases.
  • Ability to work in Agile, DevOps-oriented environments.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark, Kafka, or other distributed data processing frameworks.
  • Experience enabling data pipelines for AI/ML or generative AI applications.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Exposure to context engineering or semantic data layer design.
  • AWS or data engineering certifications.
  • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.

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